Optalert

Name: Optalert
Address: Level 6, 3 Newton Street, Cremorne, VIC, 3121, AU
Telephone: +61394255000

Scientifically validated, objective drowsiness monitoring solutions. Visit www.optalert.com to find out more.

Optalert has developed the world’s only scientifically-proven real-time operator early warning fatigue and drowsiness detection system. Our products have been installed in workplaces across the world and are helping reduce the very real cost of fatigue and drowsiness by preventing accidents before they happen. Optalert’s products have been developed with more than 20 years of research and have rec

eived validation by academics from some of the most prestigious research institutions across the globe, including Harvard Medical School in the US. Delivering multiple benefits to company owners, managers and operators, Optalert’s products have been proven to reduce risk and create positive behavioural change over time.

04/08/2026

We're going live tomorrow! Join Optalert's GM of Research & Development, Dr. Trefor Morgan, who will explore performative versus impactful drowsiness management on mine sites, and the action plan you can apply to your operations to minimise risk.

Happening Wednesday 5 August - mark your calendars and register here:

This webinar explores the difference between performative drowsiness actions versus impactful actions that use objective driver drowsiness insights to identify risk before accidents occur. This allows site managers to intervene earlier, improve controls and reduce risk exposure over time.

17/07/2026

Is your drowsiness data reducing risk, or just reporting it?

Many mine sites track yawns, pre-shift self-assessment scores, and sleep-onset events. These metrics look like action. But yawning is a countermeasure to drowsiness, not a sign of it, and self-reported tiredness correlates poorly with actual impairment. Drowsiness data must be used to reduce risk, and not merely report it after the fact.

Join Optalert’s Dr. Trefor Morgan for a live webinar on the difference between performative drowsiness metrics and the ones that genuinely reduce risk on-site, before an incident occurs.

In just 30 minutes, you’ll leave with a practical action plan: which metrics to track, what they reveal, and how supervisors and managers can turn drowsiness data into earlier, better operational decisions.

Wednesday 5 August, 11:00pm AEST

Save your spot here: https://www.optalert.com/webinar-detecting-driver-drowsiness-on-mine-sites-performative-versus-impactful-actions/

Places are strictly limited to keep the session informative and interactive. See you there!

01/07/2026

A driver does not immediately become high-risk the moment they close their eyes.

The risk developed earlier, often well before any visible sign of drowsiness appeared. By the time head nodding or long eyelid closures (LECs) appear, the window to intervene is almost closed.

Most fatigue monitoring technologies rely on these late-stage indicators. Such systems detect impairment only after it has already reached a critical level.

Our latest Insights article looks at why early-stage detection changes the equation, and how predictive monitoring (powered by the Johns Drowsiness Scale) gives supervisors time to act before driver error occurs, rather than responding once it has.

On a mine site, risk is elevated long before an operator closes their eyes. The risk begins earlier, during the progressive build-up of drowsiness-related impairment.

29/05/2026

A drowsy driver can drift into a microsleep state with no memory of what happened!

It is commonly held that sleep always involves closed eyes. But many microsleeps occur with eyes wide open – a phenomenon known as the “death stare”.

The driver looks fine. Their hands are on the wheel. But their brain has checked out.

This is one of the most dangerous aspects of fatigue: by the time visible warning signs appear, multiple microsleep events may have already occurred.

Our latest article unpacks the science behind microsleeps, why self-assessment is unreliable, and why early, objective detection is the only effective strategy.

Read it here:

Microsleeps are invisible, undetectable by the person experiencing them, and often happen with eyes open. Here's what the science and our research says about preventing them.

29/04/2026

Fatigue safety regulations in mining and transport are evolving beyond box-ticking on hours worked, regular breaks, and reporting. Mine operators now carry the duty of care and must actively mitigate risk.

Our latest Insights article details the evolving regulatory landscape across the USA, UK, and Australia. In the USA, in particular, recent rulings have broadened the definition of “mine” to any facility “necessarily connected” to extraction or processing. These now fall under the Mine Safety and Health Administration (MSHA) jurisdiction.

Federal guidelines are a floor that is gradually being raised. Operators who were only meeting the minimum yesteryear are now visibly underperforming and thus exposed to regulatory risk.

Regarding fatigue risk, technology exists today that ensures operations stay well ahead of the bare minimum. When impairment is quantified early, intervention becomes proactive rather than reactive. That shift changes how operators manage risk across fleets, and positions them as safety leaders rather than laggards.

Read the full article:

MSHA fatigue regulations, mine operator safety obligations, and drowsy driving laws explained. Learn what US mining safety rules require and how to manage fatigue risk.

22/04/2026

Many drivers believe they can tell when they are too drowsy to continue.

The evidence suggests otherwise.

Humans are fundamentally poor at assessing their own drowsiness, particularly in safety-critical environments like mining and transport. As drowsiness develops, the very cognitive systems required for self-monitoring begin to degrade.

The result is a dangerous mismatch between perceived state and actual impairment.

This is not simply a behavioural issue. It is a neurological one.
In our latest Insights piece, we unpack:

• Why subjective awareness of drowsiness is unreliable
• How drowsiness affects the brain and impacts one’s ability to self-monitor drowsiness
• The operational factors in the mining and transport industries that make accurate self-assessment even more difficult

Most importantly, it explains why objective drowsiness monitoring is increasingly essential for managing risk and improving safety outcomes.

Read it here -

Human perception is a poor indicator of drowsiness. In industries where worker safety is paramount, relying on self-assessment alone can introduce serious operational risks.

Address

Level 6, 3 Newton Street
Cremorne, VIC
3121

Telephone

+61394255000

Website

http://www.optalert.com/

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